We study how Extraversion or Introversion influences people s language production. A corpus of e-mail texts was gathered from individuals categorised via Eysenck s EPQ-R personality test. One experiment analysed the corpus using existing content analysis tools, and found relatively weak effects of Extraversion. A second experiment used more sensitive bigram-based techniques from statistical natural language processing to replicate earlier findings, and uncover novel patterns of behaviour.